{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>decimal_index</th>\n",
       "      <th>smiles</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>4096</td>\n",
       "      <td>C</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>8192</td>\n",
       "      <td>O</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>12288</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>16384</td>\n",
       "      <td>C</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>20481</td>\n",
       "      <td>CC</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   decimal_index smiles\n",
       "0           4096      C\n",
       "1           8192      O\n",
       "2          12288      N\n",
       "3          16384      C\n",
       "4          20481     CC"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from qiskit import QuantumCircuit, Aer, transpile, assemble, execute\n",
    "from qiskit.visualization import plot_histogram\n",
    "import qiskit.circuit.library as qulib\n",
    "import numpy as np\n",
    "import random\n",
    "from typing import List, Union\n",
    "\n",
    "from rdkit import RDLogger\n",
    "RDLogger.DisableLog('rdApp.*')\n",
    "\n",
    "import pandas as pd\n",
    "import sys\n",
    "sys.path.append(\"../\")\n",
    "from qmg.utils import MoleculeQuantumStateGenerator\n",
    "\n",
    "num_heavy_atom = 4\n",
    "data_path = f\"../dataset/chemical_space/effective_{num_heavy_atom}.csv\"\n",
    "data_generator = MoleculeQuantumStateGenerator(heavy_atom_size=num_heavy_atom, ncpus=16)\n",
    "data = pd.read_csv(data_path)\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0.09617422 0.90382578]\n",
      "[0.64685431 0.30011508 0.0530306 ]\n",
      "[0, 1, 2, 3, 5, 6, 7, 8, 10, 11, 12, 13, 14, 15, 17, 18, 19, 20, 21, 22]\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_198217/253128581.py:124: DeprecationWarning: The function ``qiskit.execute_function.execute()`` is deprecated as of qiskit 0.46.0. It will be removed in the Qiskit 1.0 release. This function combines ``transpile`` and ``backend.run``, which is covered by ``Sampler`` :mod:`~qiskit.primitives`. Alternatively, you can also run :func:`.transpile` followed by ``backend.run()``.\n",
      "  results = execute(qc, backend=simulator, shots=num_sample).result()\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "251\n",
      "# of parameters: 29\n"
     ]
    },
    {
     "data": {
      "text/plain": [
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       " '00101001100011110101': 1}"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def controlled_ry(qc, control, target, digit):\n",
    "    qc.cry(np.pi*digit, control, target)\n",
    "\n",
    "def build_two_atoms(qc, weight_vector: Union[List[float], np.ndarray]):\n",
    "    assert len(weight_vector) == 8\n",
    "    qc.ry(np.pi * weight_vector[0], 0)\n",
    "    qc.x(1)\n",
    "    qc.ry(np.pi * weight_vector[2], 2)\n",
    "    qc.ry(np.pi * weight_vector[4], 3)\n",
    "    qc.cx(0, 1)\n",
    "    controlled_ry(qc, 1, 2, weight_vector[3])\n",
    "    qc.cx(2, 3)\n",
    "    controlled_ry(qc, 0, 1, weight_vector[1])\n",
    "    qc.cx(1, 2)\n",
    "    controlled_ry(qc, 2, 3, weight_vector[5])\n",
    "\n",
    "    qc.x(2)\n",
    "    qc.x(3)\n",
    "    qc.x(4)\n",
    "    qc.ccx(2,3,4) # store the |00> state in ancilla qubit (fourth qubit).\n",
    "    qc.x(2)\n",
    "    qc.x(3)\n",
    "\n",
    "    qc.cx(4, 5)\n",
    "    qc.cx(5, 6)\n",
    "    controlled_ry(qc, 4, 5, weight_vector[6])\n",
    "    qc.cx(5, 6)\n",
    "    controlled_ry(qc, 5, 6, weight_vector[7])\n",
    "\n",
    "def build_bond_type_circuit(qc, heavy_atom_number: int, fixed_weight_vector: Union[List[float], np.ndarray],\n",
    "                            flexible_weight_vector: Union[List[float], np.ndarray]):\n",
    "    num_target_qubit = (heavy_atom_number - 1) * 2\n",
    "    # assert np.abs(np.sum(weight_vector) - 1) < 1e-5\n",
    "    assert len(fixed_weight_vector)*2 == num_target_qubit == len(flexible_weight_vector)\n",
    "    # ancilla qubit indicating the existence of heavy_atom_number\n",
    "    ancilla_qubit_index = 2*heavy_atom_number + (heavy_atom_number-1)**2 - 1\n",
    "    for i in range(2*(heavy_atom_number-1)):\n",
    "        qc.cx(ancilla_qubit_index+i, ancilla_qubit_index+i+1)\n",
    "    for i in range((heavy_atom_number-1)):\n",
    "        controlled_ry(qc, ancilla_qubit_index+num_target_qubit-2*i-1, ancilla_qubit_index+num_target_qubit-2*i, 1-fixed_weight_vector[-1-i])\n",
    "        qc.cx(ancilla_qubit_index+num_target_qubit-2*i-2, ancilla_qubit_index+num_target_qubit-2*i-1)\n",
    "        controlled_ry(qc, ancilla_qubit_index+num_target_qubit-2*i, ancilla_qubit_index+num_target_qubit-2*i-1, flexible_weight_vector[-2-2*i])\n",
    "        controlled_ry(qc, ancilla_qubit_index+num_target_qubit-2*i-1, ancilla_qubit_index+num_target_qubit-2*i, flexible_weight_vector[-1-2*i])\n",
    "    \n",
    "\n",
    "def build_atom_type_circuit(qc, heavy_atom_number: int, weight_vector: Union[List[float], np.ndarray]):\n",
    "    assert len(weight_vector) == 3\n",
    "    ancilla_qubit_index = 2*(heavy_atom_number-1) + (heavy_atom_number-2)**2 - 1\n",
    "    qubit_1_index = ancilla_qubit_index + 2*(heavy_atom_number - 2) + 1\n",
    "    qubit_2_index = qubit_1_index + 1\n",
    "    qc.cx(ancilla_qubit_index, qubit_1_index)\n",
    "    controlled_ry(qc, qubit_1_index, qubit_2_index, weight_vector[1])\n",
    "    controlled_ry(qc, ancilla_qubit_index, qubit_1_index, weight_vector[0])\n",
    "    qc.cx(qubit_2_index, qubit_1_index)\n",
    "    controlled_ry(qc, qubit_1_index, qubit_2_index, weight_vector[2])\n",
    "    \n",
    "    qc.x(qubit_1_index)\n",
    "    qc.x(qubit_2_index)\n",
    "    qc.x(qubit_2_index+1)\n",
    "    qc.ccx(qubit_1_index,qubit_2_index,qubit_2_index+1) # store the |00> state in ancilla qubit.\n",
    "    qc.x(qubit_1_index)\n",
    "    qc.x(qubit_2_index)\n",
    "\n",
    "def build_removing_bond_disconnection_circuit(qc, heavy_atom_number: int):\n",
    "    ancilla_qubit_index = 2*(heavy_atom_number) + (heavy_atom_number-1)**2 - 1\n",
    "    mcx_gate = qulib.XGate().control(2*(heavy_atom_number-1))\n",
    "    control_qubits_index_list = list(range(ancilla_qubit_index+1, ancilla_qubit_index+1+2*(heavy_atom_number-1)))\n",
    "    for id_ in [ancilla_qubit_index]+control_qubits_index_list:\n",
    "        qc.x(id_)\n",
    "    qc.append(mcx_gate, control_qubits_index_list+[ancilla_qubit_index])\n",
    "    for id_ in control_qubits_index_list:\n",
    "        qc.x(id_)\n",
    "    qc.cx(ancilla_qubit_index, control_qubits_index_list[-1])\n",
    "    \n",
    "def softmax_temperature(weight_vector, temperature=0.5):\n",
    "    weight_vector /= temperature\n",
    "    exps = np.exp(weight_vector)\n",
    "    return exps / np.sum(exps)\n",
    "\n",
    "num_heavy_atom = 4\n",
    "remove_bond_disconnection = True\n",
    "num_sample = 4096\n",
    "\n",
    "num_qubits = num_heavy_atom*(num_heavy_atom+1)\n",
    "num_ancilla_qubits = num_heavy_atom - 1\n",
    "qc = QuantumCircuit(num_qubits+num_ancilla_qubits, num_qubits)\n",
    "build_two_atoms(qc, [0.7, 0.3, 0.6, 0.3, 0.2, 0.6, 0.6, 0.3])\n",
    "num_parameters = 8\n",
    "# build_bond_type_circuit(qc, 2, [0.5, 0.5])\n",
    "if num_heavy_atom - 2:\n",
    "    for heavy_idx in range(3, num_heavy_atom+1):\n",
    "        atom_type_weight_vector = [random.random() for _ in range(3)]\n",
    "        bond_type_fixed_weight_vector = np.array([random.random() for _ in range((heavy_idx-1))])\n",
    "        bond_type_fixed_weight_vector = softmax_temperature(bond_type_fixed_weight_vector, temperature=0.2)\n",
    "        # bond_type_fixed_weight_vector = bond_type_fixed_weight_vector / np.sum(bond_type_fixed_weight_vector)\n",
    "        # bond_type_fixed_weight_vector = sorted(bond_type_fixed_weight_vector)\n",
    "        # bond_type_fixed_weight_vector = bond_type_fixed_weight_vector / 2\n",
    "        print(bond_type_fixed_weight_vector)\n",
    "\n",
    "        bond_type_flexible_weight_vector = np.array([random.random()*0.5 for _ in range((heavy_idx-1)*2)])\n",
    "        bond_type_flexible_weight_vector += np.array([0, 0.5]*(heavy_idx-1))\n",
    "        num_parameters += len(atom_type_weight_vector) + len(bond_type_fixed_weight_vector) + len(bond_type_flexible_weight_vector)\n",
    "        build_atom_type_circuit(qc, heavy_idx, atom_type_weight_vector)\n",
    "        if (heavy_idx >= 4) and remove_bond_disconnection:\n",
    "            build_removing_bond_disconnection_circuit(qc, heavy_idx-1)\n",
    "\n",
    "        build_bond_type_circuit(qc, heavy_idx, bond_type_fixed_weight_vector, bond_type_flexible_weight_vector)\n",
    "    else:\n",
    "        if remove_bond_disconnection:\n",
    "            build_removing_bond_disconnection_circuit(qc, heavy_idx)\n",
    "\n",
    "\n",
    "effective_qubit_index = list(range(num_qubits+num_ancilla_qubits))\n",
    "for j in range(2, num_heavy_atom+1):\n",
    "    ancilla_qubit_number = 2*j + (j-1)**2 - 1\n",
    "    effective_qubit_index.remove(ancilla_qubit_number)\n",
    "print(effective_qubit_index)\n",
    "qc.measure(effective_qubit_index, list(range(num_qubits)))\n",
    "\n",
    "# 执行量子电路\n",
    "simulator = Aer.get_backend('qasm_simulator')\n",
    "compiled_circuit = transpile(qc, simulator)\n",
    "qobj = assemble(compiled_circuit)\n",
    "results = execute(qc, backend=simulator, shots=num_sample).result()\n",
    "counts = results.get_counts(qc)\n",
    "\n",
    "\n",
    "# from qiskit.primitives.sampler import Sampler\n",
    "# sampler = Sampler()\n",
    "# job = sampler.run(qc, shots=num_sample)\n",
    "# result = job.result()\n",
    "# print(f\" > Quasi probability distribution: {result.quasi_dists}\")\n",
    "\n",
    "data_generator = MoleculeQuantumStateGenerator(heavy_atom_size=num_heavy_atom, ncpus=16)\n",
    "print(len(counts))\n",
    "print(\"# of parameters:\", num_parameters)\n",
    "# plot_histogram(counts)\n",
    "# qc.draw(output=\"mpl\")\n",
    "counts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/beegfs/home/lungyi45/.conda/envs/qmg/lib/python3.10/site-packages/qiskit/visualization/circuit/matplotlib.py:266: FutureWarning: The default matplotlib drawer scheme will be changed to \"iqp\" in a following release. To silence this warning, specify the current default explicitly as style=\"clifford\", or the new default as style=\"iqp\".\n",
      "  self._style, def_font_ratio = load_style(self._style)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 2228.98x6220.67 with 1 Axes>"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "qc.draw(output=\"mpl\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'N=NOO', 'NONO', 'NNNO', 'C=NN', 'N#CN', 'NNN', 'CCN=N', 'NCCO', 'NC1OO1', 'NOON', 'C=N', 'NNNN', 'N=C(N)O', 'NON=O', 'C=C=NN', 'NNCO', 'NNOO', 'NOOO', 'NN=CO', 'C#N', 'N=COO', 'N#CO', 'OO', 'COO', 'NCNO', 'CCO', 'CCNO', 'NNN=O', 'N=C=CN', 'NC#CO', 'C=C', 'Nn1[nH]o1', 'NC(=O)O', 'NCNN', 'N=NNN', 'C=C=NC', 'C', 'CC=N', 'CONO', 'NC=NN', 'N=CO', 'CONN', 'COOO', 'C=CO', 'ON=NO', 'NCO', 'NC=O', 'N=C=O', 'NN=NO', 'C=CC', 'NCC=O', 'NCCN', 'NON', 'N=[N+](N)[O-]', 'C=C=N', 'C=NO', 'ONOO', 'CCN', 'N', 'OCCO', 'CCCO', 'NC(N)O', 'CCNN', 'NC=CN', 'N=NON', 'NNO', 'C=O', 'NNON', 'NC=CO', 'CN=C=N', 'C#C', 'N=CCO', 'OC=NO', 'CN', 'CC=NN', 'N=NN', 'NN=O', 'NN', 'CO', 'N=C=N', 'N1=NO1', 'CC=C=O', 'N=NO', 'O=NOO', 'CC=O', 'O=O', 'On1[nH]o1', 'OC1CC1', None, 'N#N', 'N=CNO', 'N=O', 'COON', 'C=C=O', 'N=CN', 'C#CN', 'C=CNO', 'N=CON', 'NO', 'CC', 'CC=CO', 'NCN', 'ON(O)O', 'O', 'NC=NO', 'NC1=CO1', 'NN(O)O', 'O=NO', '[nH]1oo1', 'ONNO', 'CCNC', 'C=CN', 'ONO', 'CON', 'O=C1CN1', 'NCON', 'CC(=N)O', 'OOOO', 'N=N', 'NOO', 'O=C=NO', 'CN=O', 'CNO', 'OOO'}\n",
      "Validity: 94.07%\n",
      "Same noise sample Diversity: 3.00%\n"
     ]
    }
   ],
   "source": [
    "data_generator = MoleculeQuantumStateGenerator(heavy_atom_size=num_heavy_atom, ncpus=16, sanitize_method=\"strict\")\n",
    "smiles_list = []\n",
    "num_valid_molecule = 0\n",
    "for key, value in counts.items():\n",
    "    smiles = data_generator.QuantumStateToSmiles(data_generator.post_process_quantum_state(key))\n",
    "    # print(key[::-1], data_generator.post_process_quantum_state(key), value)\n",
    "    # print(smiles)\n",
    "    smiles_list.append(smiles)\n",
    "    if smiles:\n",
    "        num_valid_molecule += value\n",
    "smiles_set = set(smiles_list)\n",
    "print(smiles_set)\n",
    "print(\"Validity: {:.2f}%\".format(num_valid_molecule / num_sample * 100))\n",
    "print(\"Same noise sample Diversity: {:.2f}%\".format( (len(smiles_set)-1) / num_sample * 100))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'C1#OO=1'"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_generator = MoleculeQuantumStateGenerator(heavy_atom_size=num_heavy_atom, ncpus=16, sanitize_method=\"None\")\n",
    "data_generator.QuantumStateToSmiles(\"100110100111\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "None\n"
     ]
    }
   ],
   "source": [
    "print(data_generator.QuantumStateToSmiles(\"101011\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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xQk0r2r24hvbs2eNxfOGFF1brvsGDB3sc79271+taAAAAAKAyOTlSZmaE8vKCFRVlqEcP+SS8yc+XVq4sWcm1apVUWFizMc44w1rBVRxy9eoVuBVVkZFSVNRxSVKvXqbCwgJTBwAAAFCbEXrZNH/+fI/jcePGVeu+8ePH67nnnpMk5eXl6YsvvtDVV1/tdT1FRUUex9UN0speZ9ATAwAAAIDDTFNKSbHa9M2bFyqXa5j7XHBwSZu+hAT7odKpU9L335eEXCtWSKX+TrFamjWzWgUWh1znniuV2q4ZAAAAQC1H6GXT8uXL3e/btm2rbt26Veu+siurUlNTHQm9upbpq7Fz585q3bdjxw6P4+7du3tdCwAAAAAUS0+XJk4svWeWZ6rlcklz5livPn2kGTOs/axOx+WS1qyxAq6lS6XUVKuFYU2EhkpDhpSEXAMGSKdp4AEAAACgFiP0smHfvn06evSo+7h///7Vvje2zG9vGzZscKSmyy+/XI888oj7+D//+Y/uuOOO09734Ycfut83bdpUw4YNq+JqAAAAAKi+JUusVVy5udW7fv16KS5OSk6WEhM9z5mmtGFDyUqulBTp8OGa1RMSIg0aVBJyXXihFXwBAAAAqB8IvWzYuHGjx3Hnzp2rfW/btm3VuHFjFRQUVDiWXeeee65GjhyphQsXSpK++uorTZkyRffcc0+l97z00ktKSUlxH//2t79V8+bNHakHAAAAQMOWnl6zwKtYbq5137Jl1p5axSHX119LWVk1G8swrNVbw4ZZe3MNHWq1MAQAAABQPxF62bBnzx6P406dOlX7XsMw1LFjR/3888+SpN27dztW11tvvaWhQ4dq+/btkqR7771Xy5cv11133aUBAwYoIiJCOTk5+u677zR16lTNmzfPfe8VV1yhp556yrFaAAAAADRcpmm1NKxp4FUsN1caPNjap6umYmJKVnLFxVnBGQAAAICGgdDLhmPHjnkcR0RE1Oj+0tcXFhbq5MmTatKkidd1tW/fXitXrtTdd9+tuXPnSpI++ugjffTRR5XeExkZqd///vd67LHHFBwcbPvZpwvv9u3b536fl5envLw828+qT/Lz8yt8j6oxb/Yxd/Ywb/Ywb/Ywb/Yxd/Ywb/Ywb1VbtixI69d79ztOdQOv7t2LFB9fpISEIl18sUtt23qery+/evA9Zw/zZg/zZh9zZw/zZg/zZh9zZw/zZg/zVjlf5ASGaZqm46PWcy+++KJ+//vfu4/feOMN3XXXXdW+f9CgQVq1apX7ODs7W61atXK0xkWLFunOO++sMozq3r27pkyZossvv9zr5xmGcfqL/uftt99W69atvX4mAAAAgNrphRfOV1paR5+M3apVns4994D69s1W377ZatOmnqRaAAAAQAOTnZ2t22+/XZKUmZlZo656lWGllw1l08eartIqe72TaebevXv1wAMPaM6cOTpdnrlt2zaNGDFCgwcP1ttvv61zzjnHsToAAAAANEwnToTom2/aOzZeZORJd8h17rnZatcuVzX4mzsAAAAADQihlw2hoaEexwUFBTW6/+TJk1WOZ9eaNWs0fPhwZWdnS7JWX91444265ZZb1K9fPzVv3lxHjx5Venq6pk+frlmzZsk0Ta1cuVIXXHCBPvvsM8XFxdl6dmZmZpXn9+3bp4EDB0qS4uLiHEls64P8/HylpqZKsubFqe+F+o55s4+5s4d5s4d5s4d5s4+5s4d5s4d5q9xPPxkqKgpybLylS0317t1KUitJPR0bt67he84e5s0e5s0+5s4e5s0e5s0+5s4e5s0e5q1yp9s2yQ5CLxuaNWvmcVzTlVpl+3aWHc+Ow4cP64orrnAHXo0aNdLcuXM1atQoj+tat26tyy67TJdddpmuv/56jR07VqdOndKJEyc0ZswYrV+/Xu3atavx82sSYoWFhSksLKzGz6jvQkNDmRcbmDf7mDt7mDd7mDd7mDf7mDt7mDd7mDepsFBasUKaP1+qYkthm2OHqoFPbzl8z9nDvNnDvNnH3NnDvNnDvNnH3NnDvNnDvHnyxVw49+d3DUjZkOr48eM1uv/YsWPu9yEhIY4ku88//7z27t3rcVw28Crryiuv1HPPPec+PnTokMcxAAAAAFTm6FHpP/+RJkyQzjxTSkiQXn5ZcvqPNSMinB0PAAAAQP1F6GVDx46eGzKfrrVfaaZpas+ePZWOZYdpmpoxY4b7ODw8XPfcc0+17r333nsVHh7uPp45c6aKioq8rgkAAABA/fPzz9Jrr0mJiVLr1tL110szZ0qHD/vmeSEhkgO/MgEAAABoIGhvaEOvXr08jnft2lXte7Oysjz2ACs7lh3btm3TgQMH3MeDBg2q9rLAsLAwDRw4UEuXLpUkHTlyRFu3btXZZ5/tdV0AAAAA6raiIum776y2hZ9+Kq1b59/njxkjRUb695kAAAAA6q5aEXodPHhQn3zyiX744Qdt3LhRR44cUU5OjlwuV43HMgxD27Zt80GVJTp06KDmzZvr6NGjkqTVq1dX+9709HSP4969e3tdz/79+z2Oa7onV9nrs7OzCb0AAACABurECenLL62ga8ECKSur+vf26yeNHi21by/dfbf3tSQleT8GAAAAgIYjoKHXgQMH9NBDD+mjjz7yWP1kmqbtMQ3DcKK00xo6dKgWLlwoyVq9tX37dnXr1u2096WlpXkcx8XFeV1L2T3B8vLyanT/iRMnPI5LtzsEAAAAUP/t22cFXPPnW4FXfn717mvcWBo2TLrySmnUKKlzZ+tz05SmTJHWr7dfU0yMFB9v/34AAAAADU/AQq8ffvhBI0aM0MGDB90hV3FgZTe48iYsq6nRo0e7Qy9Jmj17th555JHT3jdnzhz3+9DQUF122WVe13LmmWd6HG/YsKFG9//0009VjgcAAACgfjFNae3akraF331X/XtbtbICriuvlC67TIqIKH+NYUgzZkhxcVJubs3rCw+Xpk+3xgEAAACA6goKxEP37t2rESNGKDs7W6ZpyjAMGYYh0zS9evnTVVddpcaNG7uP33rrLZ06darKe77++mtt2rTJfXzFFVc4sqqqU6dO6tChg/t448aNWrNmTbXu/f7777Vlyxb3cZcuXdS+fXuvawIAAABQu5w8KX3xhXTPPVJ0tNWK8Mknqxd49eolPfywtHy51e7wvfeksWMrDryKxcZKyclWgFUT4eHWfbGxNbsPAAAAAAKy0uv//u//lJ2d7V7RZZqm2rZtq5tuuklDhgxRt27dFBERoeDg4ECUVy1t27bV7bffrmnTpkmStm3bpr/85S/6v//7vwqvz8/P17333us+NgxDTzzxRKXj79ixQ127dnUfd+nSRTt27Kj0+iuvvFJvvvmm+zgpKUlLly71COYqqimpTJP80aNHV3o9AAAAgLrl4EFp0SJrRdfnn0vHjlXvvuBgaehQa3+uK6+UzjrL3vMTE6XUVGnixOq1OoyJsVZ4EXgBAAAAsMPvodeJEyc0c+ZM98ouwzB0yy23aMqUKWratKm/y/HK448/rvfff1/H/veb41NPPaVmzZrp/vvvV1BQySK6AwcO6Nprr/VoI3jdddepf//+jtXy6KOP6t1333XvjZaWlqbLLrtM77zzjrp3717u+k2bNunWW2/Vd6X+rDM0NFQPP/ywYzUBAAAA8L9Nm6yWhfPnSytWSEVF1bsvMlK6/HIr6BoxQmrZ0pl6YmOldeukZcukqVOl5GRTLldJ38KQEGnMGCkpydrDi5aGAAAAAOzye+i1fPlyFRQUuFsaXnbZZfrXv/7l7zIc0aFDB82aNUujR49WUVGRTNPUgw8+qDfeeEOXXnqpWrZsqa1bt+rTTz9VXl6e+75zzjnHY1WWE6Kjo/X666/rzjvvdH+2bNky9ezZU0OHDlVsbKwiIyN19OhR/fDDD1qxYoWKyvz2++abb6pTp06O1gUAAADAtwoLpbS0kqBr8+bq3xsdXbKaKy5OqqJRhFcMQ0pIsF5ZWfmaPTtNeXkhGj58kLp3D1VkpG+eCwAAAKBh8XvoVdyir3iVV1Ut/uqCkSNH6t1339Xdd9+tEydOSJK2bNnisU9Waf369VNycrIiffBb3eTJkyVJDzzwgDtkc7lcWrZsmZYtW1bpfeHh4ZoyZYomTpzoeE0AAAAAnJeTY7UrnD/fal946FD17x00qCToionx/8qqyEgpKuq4JKlXL1NhYf59PgAAAID6K+j0lzjrUKnfxoKDg3XRRRf5uwTHTZw4Uenp6br66qvVqFGjCq9p3769nnzySX377beKjo72WS2TJ0/W2rVrdffddyuiql2lJUVGRuo3v/mN1q1bp1tuucVnNQEAAADw3s6d0pQp0mWXSa1bS9deK33wwekDr7AwK+R6+21p3z7pm2+kP/xB6tuXVoIAAAAA6he/r/Rq0qSJ+33z5s1l1JPfsnr27Knk5GQdPHhQK1as0O7du5WTk6N27dqpW7duGjJkiIKDg6s9XnR0tEzTtFVLjx49NG3aNL3++utau3at1q1bp0OHDun48eNq1qyZWrZsqXPPPVd9+/atUU0AAAAALDk5UmZmhPLyghUVZahHDzneoq+oSPr++5K2hWvXVv/e9u2lUaOssOvSS8VqKgAAAAANgt9Dr65du7rf5+Tk+PvxPteqVSuNHj060GVIslbS9e/fX/379w90KQAAAECdZ5pSSoo0dao0b16oXK5h7nPBwdKYMVJSkrVvld2/7TtxQvrqKyvo+vRT6Zdfqn/veedZLQtHj5YGDJCC/N7XAwAAAAACy++h10UXXSTDMGSapgoLC7Vp0yb17NnT32UAAAAAQLWlp0sTJ0rr1xd/4plquVzSnDnWq08facYMKTa2emP/8ou0YIG1muvLL6X/bc97Wo0aSZdcYoVco0ZJXbpU+8sBAAAAgHrJ73/717ZtWyUmJrqPk5OT/V0CAAAAAFTbkiVSXFzpwKtq69db1y9ZUvF505TWrZOef14aNMhqRXjHHdbKrtMFXi1bSjffLM2eLWVnS59/Lv3mNwReAAAAACAFYKWXJD377LP66quvVFRUpBdffFG33367WrduHYhSAAAAAKBS6elW28Lc3Jrdl5tr3Zeaaq34KiiQli0r2Z9r587qj9WzZ0nbwsGDpZCA/BYHAAAAALVfQH5duuCCC/Tcc8/pscce0+HDh3XllVfqs88+U4sWLQJRDgAAAACUY5pWS8OaBl7FcnOlq66ygqrPP5equ6VxUJA0dKgVdF15pRV6AQAAAABOL2B/I/jII4+ooKBATz/9tFatWqV+/frphRde0Lhx4xTEjssAAAAAAiwlpfotDSuze7fVivB0IiKkyy+3VnONGCG1auXdcwEAAACgIQpI6PXHP/7R/X7QoEH65ptvtGvXLt1www265557NGTIEEVHR6tFixYyDKOKkSr25JNPOlkuAAAAgAZo2jTfjt+5sxVyjR4txcdLjRv79nkAAAAAUN8FJPR6+umnPcKs4vemaSo7O1vz58/3anxCLwAAAADeyMmRkpOdH3fgwJL9ufr2lWz8jR8AAAAAoBIB3QLZNM0Kw6/S56vLMIxy4wEAAACAHbt3Sy6Xc+M984x0xx1S+/bOjQkAAAAA8BSw0Ks40KpJsFWd8QAAAADAW8ePOzve5ZcTeAEAAACArwUk9HrqqacC8VgAAAAAOK3jx6Wvv3Z2zIgIZ8cDAAAAAJRH6AUAAACgwSsslL76SvrgA2nuXOnECefGDgmROnZ0bjwAAAAAQMUCuqcXAAAAAASKaUpr1kjvvy/9+9/SL7/45jljxkiRkb4ZGwAAAABQgtALAAAAQIOye7c0c6YVdq1f7/vnJSX5/hkAAAAAAEIvAAAAAA1ATo708cdW+8KlS61VXlUJDpYSE6WMDCsksysmRoqPt38/AAAAAKD6CL0AAAAA1EunTklLllgruj75RMrLO/09AwZIEyZIN9wgtW0rpadLcXFSbm7Nnx8eLk2fLhlGze8FAAAAANRcrQ+9jh07JkmKiIgIcCUAAAAAajvTlH74wQq6Zs2SDhw4/T2dO0s33WSFXeec43kuNlZKTrb25apJ8BUebt0XG1uz+gEAAAAA9tWq0Ovbb7/VokWLlJaWprVr1+rw4cNyuVySpODgYJ1xxhk699xzddFFF2nkyJEaOHBggCsGAAAAUBvs3Gm1LvzgA2njxtNfHxkpjR8v3XyzdPHFUlBQ5dcmJkqpqdLEidXbAywmxlrhReAFAAAAAP5VK0KvhQsX6tlnn9V3333n/sws02S/sLBQBw4c0Ndff62vv/5azz33nAYOHKgnn3xSI0aM8HfJAAAAAALsyBFpzhxrVVdq6umvDwmRRoywVnRdeaUUFlb9Z8XGSuvWScuWSVOnSsnJplyukr6FISHWarCkJGsPL1oaAgAAAID/BTT0OnnypO6//3699dZbkkqCLsMwZFTxW2Lxdd9++61GjRqlO++8U6+88oqaNGni+6IBAAAABExBgbR4sRV0ffqpdPLk6e8ZNMgKuq67TmrTxv6zDUNKSLBeWVn5mj07TXl5IRo+fJC6dw9VZKT9sQEAAAAA3gtY6OVyuTR27Fh99tlnMk3TI+gqu8qrrNKBmGmaevPNN5WZmalPPvlEQVX1JQEAAABQ55im9O23VtD1n/9IBw+e/p6uXa2ga8IE6eyzna8pMlKKijouSerVy6zRqjEAAAAAgG8ELPR64IEHtGjRonJhV3R0tMaOHavzzz9fXbt2VfPmzSVJR48e1c8//6zvv/9ec+fO1c8//+y+1zRNLVq0SA888IBee+21QH1JAAAAABy0bZs0c6a1T9eWLae/vkULazXXhAnSkCG0GAQAAACAhiYgoVdGRobeeOONcmHX3//+d40ePbrS+wYOHKjrrrtOf/vb3/Tpp5/qgQcecIdfpmnqjTfe0OTJkxUTE+OvLwUAAACAgw4dkj76yFrVlZZ2+usbNZJGjbKCrpEjJTqeAwAAAEDDFZBegH/84x9VVFTkPh4yZIh+/PHHKgOvsq688kr9+OOPGjJkiLs9YlFRkZ577jlflAwAAADAR06elObOlcaMkdq1k+6++/SB10UXSW+8If3yi3XvNdcQeAEAAABAQ+f3lV6nTp3S4sWL3auz2rdvrwULFijSxq7PERER+vTTT9WnTx/98ssvMk1Tn332mQoLCxUSErDOjQAAAABOwzSlFSusFV0ffSQdOXL6e3r0kG6+WbrpJql7d5+XCAAAAACoY/y+0uubb77R8ePWhs+GYejxxx9379tlR4sWLfT444/LNE1J0vHjx7Vy5UpHagUAAADgrM2bpSeftEKriy+W/vnPqgOvVq2k3/xGWrnS814AAAAAAMrye+i1c+dOSXKHVNdcc43XYxaPUbxHWPEzAAAAAATegQPSlCnSoEFSz57Ss89KP/9c+fVNmkjjxkmffCLt3Wvde+GF0v9+3AcAAAAAoEJ+7wG4f/9+9/uwsDC1a9fO6zHbtWunsLAw5efnl3sGAAAAAP/Ly5M+/dRqX7h4sVRYePp74uKs9oXjxkktWvi8RAAAAABAPeP30MvlcrnfBwcHOzZu6T28Sj8DAAAAQOVycqTMzAjl5QUrKspQjx6Sje12JUlFRVJqqvTBB9Ls2dbYp9OrlxV03XijFB1t77kAAAAAAEgBCL3atGnjfn/8+HEdPXrUqz29JOno0aM6duyYu71h6WcAAAAA8GSaUkqKNHWqNG9eqFyuYe5zwcHSmDFSUpKUkFC9loIbNlgrumbOlHbtOv31bdpIN9xghV0DBtC2EAAAAADgDL+HXh07dvQ4XrhwoW688Uavxly4cKEka58wwzDKPQMAAACAJT1dmjhRWr+++BPPxMnlkubMsV59+kgzZkixseXHycqSZs2ywq709NM/NzRUuvpqK+hKTJQaNfL2KwEAAAAAwJPfQ6+LLrpIjRs31qlTp2Sapp5//nmNHz9ejWz+1ltYWKi//OUvMgxDpmmqUaNGGjJkiMNVAwAAAHXfkiXWKq7c3Opdv369tc9WcrIVVJ04Ic2bZwVdS5ZYAVlVDEO65BIr6LrmGvttEwEAAAAAqI4gfz8wPDxcF198sUzTlCRt3LhRv/71r1VUVGRrvDvvvFMZGRmSJMMwFBcXp6ZNmzpWLwAAAFAfpKfXLPAqlpsrjR4tXXml1LatdNNN0uLFVQdeMTHSX/9qtTr86ivpllsIvAAAAAAAvuf30EuSHn30UUlyr86aOXOmEhMTtXXr1mqP8fPPP+vyyy/Xe++95x5Hkh577DGf1AwAAADUVaZptTSsaeBVLD9fWrBAOn688mvatZMefFBavVpau1Z6+GGpUyd7zwMAAAAAwA6/tzeUpEsvvVQjR47UwoUL3YFVSkqKzjnnHP3qV7/S2LFjdf7556tr164KDw+XJOXm5mrHjh36/vvvlZycrM8++0yFhYXufbwMw9CoUaN0ySWXBOJLAgAAAGqtlJTSe3g5p2lTq23hzTdLl14qBQc7/wwAAAAAAKorIKGXJM2cOVNDhw5VRkaGO/gqLCzUokWLtGjRIvd1QUHWYrSy7Q+LV3YV39u3b1998MEH/vsCAAAAgDpi2jTnxgoKkoYPlyZMsNolNmvm3NgAAAAAAHgjYKFXZGSkvvjiC40fP14rVqyQYRjuc8WBliS5KtgsoHhlV/G1Q4cO1UcffaSIiAjfFw4AAADUITk5UnKyM2MFBUk//ST17OnMeAAAAAAAOCkge3oVa9eunZYtW6Y//elPatmypUzT9GhXWNmr+LqWLVvqz3/+s1JSUtSuXbtAfikAAABArbR7t1TB35HZUlRkvQAAAAAAqI0CGnpJVvvCRx99VJmZmXr77bd1zTXXqG3btu5gq+yrXbt2uuaaa/TOO+8oMzNTjzzyiLsFIgAAAABPx487O96xY86OBwAAAACAUwLW3rCs0NBQ3XbbbbrtttskSdnZ2Tp06JAOHz4sSTrjjDPUqlUrtWrVKpBlAgAAAHXG8ePSvHnOjklHcQAAAABAbVVrQq+yWrdurdatWwe6DAAAAKDO2bVLev116a23pKNHnRs3JETq2NG58QAAAAAAcFKtDb0AAAAA1MzKldIrr0hz5zq3j1dpY8ZIkZHOjwsAAAAAgBMIvQAAAIA67NQpK+R65RXp2299+6ykJN+ODwAAAACANwi9AAAAgDro8GGrfeHrr0u7d1d+nWFIo0ZJ69ZJO3bYf15MjBQfb/9+AAAAAAB8jdALAAAAqEM2b5ZefVV67z3pxInKrwsPl269VbrvPumss6T0dCkuTsrNrfkzw8Ol6dOtAA0AAAAAgNrK0dBr165d5T7r3Llzta5zUkXPBAAAAOoq05SWLrVaGC5caB1XpnNn6d57pdtvl1q0KPk8NlZKTrb25apJ8BUebt0XG2u7fAAAAAAA/MLR0Cs6OlpGqT//NAxDhYWFp73OSZU9EwAAAKhr8vOlWbOkv/9dWru26msvvFD67W+la66RQir5KT8xUUpNlSZOlNavP/3zY2KsFV4EXgAAAACAusDx9oZmVX92auM6AAAAoKHJypL+8Q9p2jRp//7KrwsOlsaNkx54wAq9qiM21trfa9kyaepUKTnZlMtV8gdpISHWarCkJGsPL1oaAgAAAADqCsdDr+IVXKcLtXyx0osgDQAAAHXZunVWC8OZM6WCgsqva9FCmjxZ+s1vrHaGNWUYUkKC9crKytfs2WnKywvR8OGD1L17qCIjbX4BAAAAAAAEkKOhV+fOnasVZlX3OgAAAKC+KyqSFi2yWhh+9VXV1551lnT//dKkSVKzZs48PzJSioo6Lknq1ctUWJgz4wIAAAAA4G+Ohl47duxw9DoAAACgvsrNtfbLevVVafPmqq8dNszar+uKK6SgIP/UBwAAAABAXeN4e0MAAAAAlcvMlKZMkf75T+nIkcqva9xYuvFGa7+u887zV3UAAAAAANRdhF4AAACAH6xaZe3XNXu25HJVfl2bNlJSknT33VLbtv6rDwAAAACAuo7QCwAAAPCRwkIpOdkKu1aurPravn2tFoY33CCFhvqnPgAAAAAA6hNCLwAAAMBhR45I77wjvf66tHNn1deOHGmFXcOGSYbhl/IAAAAAAKiXAhJ6DRs2zP3+wQcf1KhRo7wa79NPP9Urr7wiSTIMQ1999ZVX4wEAAAB2bN0qvfaa9O670vHjlV/XtKl0yy3S/fdLZ5/tt/IAAAAAAKjXAhJ6paSkyPjfn7Fef/31Xo+3d+9epaSkSJJ7XAAAAMAfTFNatsxqYfjpp9ZxZTp1ku65R7rjDqllS//VCAAAAABAQ0B7QwAAAMCGkyel//zHCrt+/LHqawcOtFoYjh0rNWrkl/IAAAAAAGhwCL0AAACAGjhwQPrHP6Rp06Rffqn8uqAgK+R64AFp8GD26wIAAAAAwNfqRehVVFTkfh8UFBTASgAAAFBfZWRIf/+79MEH1iqvykRGWu0L771X6tLFb+UBAAAAANDg1YvQKycnx/2+adOmAawEAAAA9UlRkfT551YLwyVLqr62e3fp/vulW26RIiL8Uh4AAAAAACilXoRe69atc79vyY7gAAAA8NKJE9KMGdKrr0obN1Z9bXy8tV/XqFFScLB/6gMAAAAAAOXV+dBr/fr1mjdvnoz/bZLQu3fvAFcEAACAQMjJkTIzI5SXF6yoKEM9elitBmtizx5p6lTpzTelQ4cqv65RI+mGG6z9uvr396psAAAAAADgEJ+EXsuWLdOyZcuqde2CBQv0S1U7gFfA5XLp6NGj2rBhg5YtW6ZTp07JNE0ZhqEhQ4bYKRkAAAB1kGlKKSlWUDVvXqhcrmHuc8HB0pgxUlKSlJAg/e9vpCr0/fdWC8OPPpIKCyu/rnVr6e67rVf79o59GQAAAAAAwAE+Cb1SUlL0zDPPuFdfVcQ0TUnSwoULtXDhQtvPKg67JCkkJEQ33XST7bEAAABQd6SnSxMnSuvXF3/i+bOnyyXNmWO9+vSx2hXGxnqe/+QTK+z673+rflafPtaqrptuksLCnPwqAAAAAACAU3ze3rA43LJ7vjLFQZdhGO4xnn76aUVHR9saDwAAAHXHkiXWKq7c3Opdv369FBcnJSdLgwZJ77wjvfaatGNH1feNGGGFXYmJVa8UAwAAAAAAgefT0MtuoFXTsXv16qXHH3+cVV4AAAANQHp6zQKvYrm50siR1n5cJ05Ufl1YmLWC7P77JbaLBQAAAACg7vBJ6JWQkFDl+dKtD6+44gqdf/75NRo/JCREERERateunfr376+zzjrLbqkAAACoQ0zTCqRqGngVO3XKelWkQwfpnnukyZOlVq3s1wgAAAAAAALDJ6FXfHy84uPjKz3/zDPPuN9feeWVmjx5si/KAAAAQD2TklJ6Dy9nDBgg/fa30vjxUuPGzo4NAAAAAAD8x+d7elXGNE33ai8AAACgOqZNc26sa66xwq4hQ9ivCwAAAACA+iAgoddTTz3lfl/T1oYAAABomHJypORkZ8YKDpbefVeKjHRmPAAAAAAAEHgBD70AAACA6ti9W3K5nBnL5ZL27CH0AgAAAACgPgkKdAEAAABAdRw/7ux4x445Ox4AAAAAAAgsQi8AAADUCc2aOTteRISz4wEAAAAAgMAKSHvDkydP6oUXXpBpmpKkAQMGaOTIkbbGWrBggdLT0yVJQUFBeuyxxxQcHOxYrQAAAKgdDhyQDEP634+QXgkJkTp29H4cAAAAAABQewQk9Jo9e7aeeuopGYYhSfr6669tjxUREaGnn37aPdY555yja665xpE6AQAAEHg//yw98YT07387N+aYMeznBQAAAABAfROQ9oYzZ86UJJmmqZiYGMXHx9seKz4+XjExMe5VYzNmzHCkRgAAAATWoUPS734n9erlbOAlSUlJzo4HAAAAAAACz++hV0FBgVJTU2UYhgzD0Pjx470es3gM0zT19ddfq7Cw0OsxAQAAEBj5+dLf/iZ17y69/LJUUODs+DExkhd/cwUAAAAAAGopv4de69atU15enntlVkJCgtdjXnLJJe73ubm5ysjI8HpMAAAA+FdRkfT++1LPntLDD0tHjpS/JjJSuvdeKTzc3jPCw6Xp0629wQAAAAAAQP3i99Brw4YNHsf9+/f3esx+/fpJkntfr02bNnk9JgAAAPxnyRJpwABp4kRp167y5xs1kh54QNq2TXrtNSk5uebBV3i4dV9srCMlAwAAAACAWsbvoVd2drb7fVhYmMLt/pluKc2aNVPTpk3dx1lZWV6PCQAAAN9bs0b61a+kyy6Tfvyx4muuv17auFF65RWpdWvrs8REKTVV6tOnes+JibGuT0x0pGwAAAAAAFAL+T30OnHihPt9WFiYY+OGhoa63x8/ftyxcQEAAOC8XbukSZOk/v2lL76o+Jr4eGnVKmnWLKlbt/LnY2OldeukpUulceOk4GDT43xIiDR+vHV+7VpWeAEAAAAAUN+F+PuBzZs3d78/cuSITNN0tyW0yzRNHSm16YMTq8cAAADgvCNHpD//WXr1VenkyYqvOecc6YUXpCuuOP3eW4YhJSRYr6ysfM2enaa8vBANHz5I3buHKjLS4S8AAAAAAADUWn4PvVoX96SRVFRUpG3btqlHjx5ejblt2zYVFRW5w7PSzwAAAEDgnTwpTZsmPfecdOhQxde0by89+6y1AizExk+pkZFSVJS14r9XL1MONhUAAAAAAAB1gN/bG3bv3l2S3AHVF5X1s6mBzz//XJK14kuSunTp4vWYAAAA8F5RkdWesFcv6cEHKw68IiKsMGzLFunXv7YXeAEAAAAAAPg99IqNjXW3ODRNU6+++qqKiopsj+dyufTaa6+5Q7SmTZtq0KBBjtQKAAAA+5YulQYOlG68Udqxo/z5kBDpnnukrVulxx+X6FANAAAAAAC84ffQKygoSMOHD3evytq6dauefvpp2+M988wz2rJliyRr9dgll1yiRo0aOVEqAAAAbMjIkEaOlIYNk374oeJrxo2TfvpJev116cwz/VsfAAAAAACon/weeknSQw89JMkKqUzT1PPPP6+//OUvNR7nz3/+s5577jn3OKXHBgAAgH/t2WO1JzzvPGnRooqvGTpUSkuTZs+WzjrLv/UBAAAAAID6LSCh16BBgzRy5EiZpukOrB5//HElJCRUa4+vxYsXKz4+Xk888YQkucdJTExUXFycr8sHAABAKUePWu0JzzpL+te/rH28yurZU5o3T0pNlQYP9nuJAAAAAACgAQjYNuHvvvuuzj//fGVmZrqDr+XLl2vEiBFq1aqVBg8erO7du6tFixaSpCNHjmjr1q365ptvdPDgQUnyCM2ioqI0Y8aMQH05AAAADU5BgfTmm9If/yhlZ1d8Tdu20jPPWCvAQgL2kycAAAAAAGgIAvafHlq3bq358+frV7/6lbKysmQYhiQryMrOztaCBQsqvK+4jaFhGO7Aq127dlqwYIHOZEMIAAAAnzNNac4c6bHHpG3bKr4mPFz6/e+l3/1OatbMv/UBAAAAAICGKSDtDYude+65Sk9P15AhQ8qFWZIVcJV+lT5f/Fl8fLxWr16tmJiYgH0dAAAADUVqqnThhdK111YceAUHS3fdJW3dKj31FIEXAAAAAADwn4CGXpLUvn17LV++XB9//LEuuOCCciFXaaXPDR48WJ988omWLl2qtm3bBqByAACAhmPDBumqq6T4eGnVqoqvufpqKSNDeuMNqV07v5YHAAAAAAAQuPaGZY0ZM0ZjxozR7t27lZKSovT0dB04cMC9f1erVq3Upk0bDRgwQAkJCerYsWOAKwYAAKj/9u2Tnn5aevttqaio4msuvFD629+koUP9WhoAAAAAAICHWhN6FevUqZMmTJigCRMmBLoUAACABuvYMenFF63XiRMVX9Ojh/SXv0jXXCP9rzs1AAAAAABAwNS60AsAAACBc+qUtarr6ael/fsrvqZNG2u/rsmTpUaN/FoeAAAAAABApQi9AAAAINOU5s2THn1U2ry54mvCwqTf/U76/e+lyEi/lgcAAAAAAHBahF4AAAANXFqaFWSlpVV8PihIuu026ZlnpA4d/FsbAAAAAABAddXK0Gvjxo3at2+fDh06pBMnTsg0TU2cODHQZQEAANQrmzdLjz0mzZ1b+TWjRln7dvXp47+6AAAAAAAA7Kg1odeiRYv0z3/+U8uXL9eRI0fKna8s9JoyZYoKCgokSd26ddPVV1/twyoBAADqvqws6Y9/lN58U3K5Kr7m/POlv/1NSkjwa2kAAAAAAAC2BTz0WrdunSZMmKCMjAxJkmma5a4xDKPS+7/55hvNmjVLkhQZGakRI0aoSZMmvikWAACgDsvNlV5+WXrhBen48Yqv6dpV+vOfpfHjrbaGAAAAAAAAdUVAQ69///vfuv3223Xy5EmZpinDMGQYhjv4Kv2+Mvfdd5/+/e9/S5JycnI0b948XXfddT6vvTKHDh3SihUrtHv3buXk5Kh9+/bq1q2bLrroIgXxX44AAEAAFBZK774rPfmk9MsvFV/TqpX0f/8n3XWXxN8PAQAAAACAuihgodfixYt1yy23qLCw0L2SyzRNtWvXTv3791d2dra+++67044zcOBAde3aVTt27JAkLViwICCh15YtW/Too49qwYIF7naLpXXo0EGTJ0/WY489psaNGzv+/FtuuUXTp0/3epxJkybpvffe874gAAAQcKYpLVggPfKItGFDxdeEhkoPPGBd06KFP6sDAAAAAABwVkCWHh09elQTJkxwB16maer888/X0qVLtXfvXi1cuFC33XZbtce76qqrZJqmTNPUV1995cPKKzZz5kz1799fc+fOrTDwkqS9e/fq6aef1uDBg7Vz504/V1h9zZo1C3QJAADAAatWWftxjR5dceBlGNItt0ibN1vtDAm8AAAAAABAXReQ0Ouvf/2rDh065F7hdc011+i///2v4uPjbY03dOhQ9/usrCzt3r3bkTqrY/HixZo0aZJyc3Pdn5111lm6884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      "text/plain": [
       "<Figure size 2000x1200 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "def plot_line_chart(x, y, title='Line Chart', xlabel='X-axis', ylabel='Y-axis'):\n",
    "    plt.figure(figsize=(10, 6), dpi=200)\n",
    "    plt.plot(x, y, marker='o', linestyle='-', color='b', label='Line')\n",
    "    plt.title(title)\n",
    "    plt.xlabel(xlabel, fontsize=15)\n",
    "    plt.ylabel(ylabel, fontsize=16)\n",
    "    plt.xticks(x)\n",
    "    plt.xticks(fontsize=14)\n",
    "    plt.yticks(fontsize=14)\n",
    "    plt.grid(True)\n",
    "    # plt.legend()\n",
    "    plt.show()\n",
    "\n",
    "# Example usage\n",
    "x = np.array(list(range(2, 21)))\n",
    "y = np.array([np.cos(np.pi/2/n)**(2*n) for n in x])\n",
    "\n",
    "plot_line_chart(x, y, title=None, xlabel='# of heavy atoms', ylabel='Probability of disconnection')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_3954840/1069736525.py:13: DeprecationWarning: The function ``qiskit.execute_function.execute()`` is deprecated as of qiskit 0.46.0. It will be removed in the Qiskit 1.0 release. This function combines ``transpile`` and ``backend.run``, which is covered by ``Sampler`` :mod:`~qiskit.primitives`. Alternatively, you can also run :func:`.transpile` followed by ``backend.run()``.\n",
      "  results = execute(qc, backend=simulator, shots=4096*8).result()\n"
     ]
    },
    {
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",
      "text/plain": [
       "<Figure size 1750.94x1538.44 with 1 Axes>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import qiskit.circuit.library as qulib\n",
    "\n",
    "mcx_gate = qulib.XGate().control(14)\n",
    "qc = QuantumCircuit(17)\n",
    "qc.append(mcx_gate, [15,1,2,3,4,5,6,7,8,9,10,11,12,13,14])\n",
    "\n",
    "qc.measure_all()\n",
    "\n",
    "# 执行量子电路\n",
    "simulator = Aer.get_backend('qasm_simulator')\n",
    "compiled_circuit = transpile(qc, simulator)\n",
    "qobj = assemble(compiled_circuit)\n",
    "results = execute(qc, backend=simulator, shots=4096*8).result()\n",
    "counts = results.get_counts(qc)\n",
    "\n",
    "qc.draw(output=\"mpl\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.19715006646059333"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.cos(np.pi/2/np.sqrt(2))**(2*1)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "qmg",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
